Embedded Software Engineer - ML Applications

Job Description: We are seeking a Staff Software Engineer, AI/ML to lead the development of advanced AI applications running on embedded devices and cloud infrastructure across our smart home ecosystem. This role bridges cutting-edge AI/ML models with fully integrated smart home security devices. As a technical leader, you'll drive efforts across on-device AI, multi-modal sensor fusion, and cloud-edge coordination, working closely with cross-functional teams. Responsibilities: Build multi-modal pipelines and features that integrate vision, audio, radar, text, and other inputs for high-accuracy AI customer experiences. Optimize and deploy AI model applications for constrained environments, including benchmarking on hardware. Collaborate cross-functionally with cloud, mobile, QA, product, UX, and hardware teams to ship AI-powered experiences at scale. Serve as a technical mentor and system owner, influencing team strategy, reviews, and roadmap prioritization. Develop tools and frameworks to support model evaluation, A/B testing, and automated performance monitoring across both cloud and edge environments. Experience: 5+ years of hands-on experience in embedded software and/or applied machine learning in production Proven ability to design and deploy real-time systems on embedded Linux (or RTOS) Highly Proficient in C++, Rust, and Python in production environments Experience with AI model lifecycle: training, conversion (ONNX, TensorRT, TFLite), quantization, and pruning Knowledge of cloud platforms (GCP, AWS, Azure) and edge-cloud coordination Solid understanding of system-level design, debugging, and performance tuning Skills: Computer Vision & ML: Classification, Detection, Tracking, Recognition, LLM/VLM integration, Pose Estimation, Vector Embeddings Multi-modal ML and Sensor Fusion: visual, audio, radar, and text data Model Optimization: Post-training quantization, pruning, distillation, benchmarking on NPUs/DSPs/ASICs Media & Signal Processing: GStreamer, FFmpeg, MediaPipe, OpenCV Communication Protocols: MQTT, gRPC, Bluetooth, Wi-Fi, WebRTC DevOps: CI/CD (GitLab), versioning, monitoring Containerization: Docker, Kubernetes Security & Privacy: Secure boot, data encryption, firmware signing Databases: Vector DBs, Time-Series, Graph-based Knowledge Systems Collaboration Tools: JIRA, Confluence, Slack, Teams Education: Bachelor's or Master's in Computer Engineering, Computer Science, Electrical Engineering, or similar About US Tech Solutions:US Tech Solutions is a global staff augmentation firm providing a wide range of talent on-demand and total workforce solutions. To know more about US Tech Solutions, please visit (.US Tech Solutions is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity,national origin, disability, or status as a protected veteran.

Created: 2026-03-04